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This chapter reviews clinical cases and synthesizes the current scientific literature on the applications of artificial intelligence (AI) in prosthodontics and restorative dentistry. Among the main topics covered are the automated design of restorations such as crowns and inlays, as well as other occlusal devices. The determination of maxillomandibular relationships and the role of AI in esthetic smile design are also discussed. Comparative analyses between AI-driven systems and human dental professionals have revealed that AI has the potential to achieve superior efficiency and dimensional accuracy in designing restorations. However, a significant limitation is its current inability to consistently replicate fine functional details, such as occlusal wear facets, for which the human expertise shows greater adaptability. The clinical implications raised herein suggest that while AI significantly enhances efficiency and consistency, the clinical judgment and nuanced functional understanding of an experienced dental professional remain indispensable for optimizing functional and esthetic outcomes.

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Artificial Intelligence in Prosthodontics

  • 章节

  • 发表日期：

    2026年

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  • José Lincoln de Queirós,
  • Ji Yong Han,
  • Newton Sesma,
  • Lisya Vizotto de Barros,
  • Sergio Candido Dias,
  • Bruno B. R. Matias,
  • Marcelo Lucchesi Teixeira,
  • Laura Althea Cuschieri,
  • Arthur Rodriguez Gonzalez Cortes,
  • Guilherme Saavedra,
  • Tatiana Cursino Pereira,
  • Fernando Antonio Reis Laurino,
  • Roberto Adrian Markarian,
  • Jorge Alonso Perez-Barquero

摘要

This chapter reviews clinical cases and synthesizes the current scientific literature on the applications of artificial intelligence (AI) in prosthodontics and restorative dentistry. Among the main topics covered are the automated design of restorations such as crowns and inlays, as well as other occlusal devices. The determination of maxillomandibular relationships and the role of AI in esthetic smile design are also discussed. Comparative analyses between AI-driven systems and human dental professionals have revealed that AI has the potential to achieve superior efficiency and dimensional accuracy in designing restorations. However, a significant limitation is its current inability to consistently replicate fine functional details, such as occlusal wear facets, for which the human expertise shows greater adaptability. The clinical implications raised herein suggest that while AI significantly enhances efficiency and consistency, the clinical judgment and nuanced functional understanding of an experienced dental professional remain indispensable for optimizing functional and esthetic outcomes.